A master's thesis looking for Detecting Fake Instagram Accounts Using Supervised Machine Learning: A Comparative Analysis of Static and Temporal Features with Stacking Ensemble Models.

A master's thesis at University of Basrah, College of Computer Science and Information Technology, entitled:

Detecting Fake Instagram Accounts Using Supervised Machine Learning: A Comparative Analysis of Static and Temporal Features with Stacking Ensemble Models, was presented.

The thesis, submitted by student Samar Sadiq Hassoun, explored the design of a model based on supervised machine learning techniques to detect fake Instagram accounts. It included a comparative analysis of static and temporal features and the application of stacking ensemble models.

The thesis concluded that integrating temporal features with stacking learning models contributes to increased classification accuracy and improved detection efficiency.